Educational Technology AI Rater & Evaluator
RemoteLATAMArtificial IntelligenceEdTechCurriculum DeveloperTeaching AssistantInstructional DesignCurriculum Development
Upload My Resume
Drop here or click to browse · PDF, DOCX, TXT
Requirements
- Types of AI Evaluation Work
- Depending on project demands, work may include:
- Educational and instructional content evaluation
- Learning accuracy and conceptual understanding assessment
- Benchmarking and comparative model analysis
- Red-teaming for misleading or harmful educational content
- Ongoing model monitoring and regression testing
- What We Look For
- Deep domain expertise in education, instructional design, or learning sciences
- Strong judgment and ability to apply criteria consistently
- Comfort working with structured evaluation workflows
- Ability to explain reasoning clearly, especially in instructional or learner-facing scenarios
- Reliability, professionalism, and respect for quality standards
- Engagement Model
- Contract-based, flexible participation
- Project-based work with clear expectations and timelines
- Opportunities for recurring work based on performance and demand
- Compensation communicated upfront per project or task type
- Native or professional fluency in one or more supported languages is required
- Supported languages span 30+ global languages
- Language-specific nuance is assessed through screening and task-based evaluation, not separate job descriptions
- English fluency is required for guidelines, feedback, and collaboration
- AI is changing how the world communicates — and LILT is leading that transformation.
- LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
- Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
- Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
- At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at [email protected].
Responsibilities
- Evaluate AI outputs related to educational, instructional, and learning content
- Perform structured scoring, comparison, classification, and judgment tasks
- Assess pedagogical accuracy, clarity, appropriateness, and learning effectiveness
- Identify hallucinations, misleading explanations, factual errors, or unsafe educational guidance
- Ideal Background
- Educators, instructional designers, curriculum developers, or learning professionals
- Experience with teaching, curriculum design, assessment, or educational technology
- Strong attention to detail and comfort working with structured evaluation criteria
- Track B: EdTech AI Evaluator (Senior Track)
- Evaluators provide higher-level domain oversight and help shape how evaluation is performed.
- Validate and refine evaluation rubrics and edge-case handling
- Perform adjudication where raters disagree
- Conduct error analysis and qualitative reviews of model behavior
- Partner with LILT research, product, and customer teams on evaluation design
- Support red-teaming, educational quality review, and model readiness assessments
- Ideal Background
- Senior educators, academic leaders, learning scientists, or education subject matter experts
- Experience defining instructional standards, reviewing complex edge cases, or advising on learning outcomes
- Ability to clearly explain nuanced pedagogical reasoning and tradeoffs
Benefits
- Your expertise helps ensure that AI systems:
- Provide accurate, effective, and responsible educational content
- Align with instructional best practices and learning standards
- Are trustworthy and supportive for learners across languages
Similar Jobs
20h ago